使用openCV进行双立方插值

时间:2012-03-08 05:32:25

标签: c++ image-processing opencv image-resizing bicubic

我想使用双三次插值执行图像大小调整。但是,我的输出图像new_img与我原来加载的图像img完全相同。此外,当我找到new_img的宽度和高度时,它与原始图像具有相同的尺寸。我认为目的地图像应该已经调整大小? 这是我的代码。有人会看到我做了什么不准确吗?提前谢谢。

#include "cv.h"
#include "highgui.h"
#include "iostream"

using namespace std;
int main( int argc, char* argv ) {
IplImage* img = NULL;
const int maxScale = 1;
img = cvLoadImage("C:\\walk mii.jpg");
if (!img){return -1;}
for(int s = 1; s <= maxScale; s++)
{
    IplImage* new_img = img;
    if( s > 1 ) {
        new_img = cvCreateImage(cvSize(img->width*s,img->height*s), img->depth, img->nChannels );
        cvResize( img, new_img, CV_INTER_CUBIC );}
    cvNamedWindow( "original", CV_WINDOW_AUTOSIZE );
    cvShowImage( "original", img);
    cvNamedWindow( "result", CV_WINDOW_AUTOSIZE );
    cvShowImage( "result", new_img);

    CvSize dim = cvGetSize(new_img);
        cout <<" dimensions:: height:" <<  dim.height<<" width:"<< dim.width<< endl;

    cvWaitKey(0);
    cvReleaseImage( &img );
    cvReleaseImage( &new_img );
    cvDestroyWindow( "result" );
    return 0;
    }
}

修改代码:

#include "cv.h"
#include "highgui.h"
#include "iostream"

using namespace std;
int main( int argc, char* argv ) {
IplImage* img = NULL;
IplImage* new_img = NULL;
img = cvLoadImage("C:\\walk mii.jpg");
if (!img){
    return -1;}
new_img = cvCreateImage(cvSize(img->width,img->height), img->depth, img->nChannels );
cvResize( img, new_img, CV_INTER_CUBIC );
cvNamedWindow( "original", CV_WINDOW_AUTOSIZE );
cvShowImage( "original", img);
cvNamedWindow( "result", CV_WINDOW_AUTOSIZE );
cvShowImage( "result", new_img);

CvSize dim = cvGetSize(new_img);
cout <<" dimensions:: height:" <<  dim.height<<" width:"<< dim.width<< endl;

cvWaitKey(0);
cvReleaseImage( &img );
cvReleaseImage( &new_img );
cvDestroyWindow( "result" );
return 0;
}

2 个答案:

答案 0 :(得分:1)

你需要扩大规模.. 你有2种方法(只显示高度的比例):

1)

Mat testIn(inputRows, inputCols, CV_32F);
Mat testOut(inputRows*2, inputCols, CV_32F);
Size sz = testOut.size();

resize(testIn, testOut, sz, 0.0f, 0.0f, INTER_CUBIC);

所以openCV使用“sz”自动计算testIn与testOut之间的比例(例如:“Y”因子是sz.height / testIn.Height)

2)

Mat testIn(inputRows, inputCols, CV_32F);
Mat testOut(inputRows*2, inputCols, CV_32F);
Size sz = testOut.size();

resize(testIn, testOut, sz, 2.0f, 0.0f, INTER_CUBIC);

所以openCV使用“2.0f”参数作为比率(对于“Y”),但是在这里你必须确保testOut有足够的大小用于这样的比例

答案 1 :(得分:0)

IplImage* new_img = img;执行浅拷贝,因此new_img和img指向相同的数据